Networks and Optimization

Developing algorithmic methods to tackle complex optimization problems by combining techniques from mathematics and computer science, with applications in planning, scheduling and routing.
In today’s society, complex systems surround us. From transport and traffic, to behavioural economics and operations management, real-world applications often demand that we identify simple, optimal solutions among a huge set of possibilities. Our research group Networks and Optimization works to make this complexity manageable.

 

By combining techniques from mathematics and computer science, we develop algorithmic methods to tackle complex optimization problems. Our research provides efficient solutions to some of the world’s most challenging problems, for example in planning, scheduling and routing.

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